<%@ page language="java" import="java.util.*" pageEncoding="utf-8"%>
<%@ page import="org.lsms.dao.impl.*"  %>
<%@ page import="org.lsms.bean.*"  %>
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
  <head>
    
    <title>LSMS | Call for ssp</title>
    
	<meta http-equiv="pragma" content="no-cache">
	<meta http-equiv="cache-control" content="no-cache">
	<meta http-equiv="expires" content="0">    
	<meta http-equiv="keywords" content="lsms,icsee,index,home">
	
	<link rel="stylesheet" href="../css/index_layout.css" type="text/css" />
	<link rel="stylesheet" href="../css/hyper_link_style.css" type="text/css" />

  </head>
  
  <body>
  <% 
  	DaoImpl impl = new DaoImpl(); 
  	HashMap<String,Integer> hm = impl.get_site_setting(); 
  	int user_register = hm.get("user_register"); 
  	//System.out.println(user_register); 
   %>
	<div id="container">
		<div id="header" class="logo_image">
		
		</div>
		
		<div class="nav"></div>
		
		<div id="news">
		<%
			int max_id = impl.get_max_id_news();
			News news = impl.get_news_info(max_id);
		 %>
		<marquee  onmouseover="this.stop()" onmouseout="this.start()">
			<a href="show_news.jsp?news_id=<%=max_id%>">
				<font size='3px' color='red'>
					<%=news.getNews_title()%>
				</font>
			</a>
		</marquee>
		</div>
		
		
		<div id="data_bar">
			<%
				Object username = session.getAttribute("username");
				if(username==null){
			 %>
			<a href="../login.jsp" target="_blank"><font color="#000000">Log in</font></a>
			|
				<% 
					if(user_register==1){
				%>
				<a href="../signup.jsp" target="_blank"><font color="#000000">Sign up</font></a>
				&nbsp;&nbsp;
				<%
					}else{
				 %>
				 <a href="error/signup_forbidden.jsp" target="_blank"><font color="#000000">Sign up</font></a>
				&nbsp;&nbsp;
				<%
					}
				 %>
			<%
			}else{
			 %>
			<b><font size="3px"> Hello,<%=username %> |</font></b>
			 
			 <a href="logout"><font color="red">Log Out&nbsp;</font></a>
			 <%
			 }
			 %>
		</div>
		
		<div class="nav"></div>
		
		<div id="menu" class="menu_color border">
			<table border="0" width="100%"  >
				<tr>
					<td  bgcolor="#CCCCCC"><a href="../index.jsp">Home</a> <img src="../include/image/new.gif" /></td>
				</tr>
				<%
					Object per = session.getAttribute("permission");
					if(per==null){
					
				 %>
				<tr>						
					<td><a href="../login.jsp">My Workspace</a></td>
				</tr>
				<%
					}else{
						int permission = Integer.parseInt(per.toString());
						switch(permission){
						case 0:	
				%>
				<tr>						
					<td><a href="../chair/chair_show_info.jsp">My Workspace</a></td>
				</tr>
				<%
					break;
					case 1:
				 %>
				<tr>						
					<td><a href="../member/member_show_info.jsp">My Workspace</a></td>
				</tr>
				<%
					break;
					case 2:
				 %>
				<tr>						
					<td><a href="../reviewer/reviewer_show_info.jsp">My Workspace</a></td>
				</tr>
				<%
					break;
					case 3:
				 %>
				<tr>						
					<td><a href="../author/author_show_info.jsp">My Workspace</a></td>
				</tr>
				<%
					break;
					case 4:
				 %>
				<tr>						
					<td><a href="../admin/admin_show_info.jsp">My Workspace</a></td>
				</tr>
				<%
					break;
					}
					}
				 %>
				<tr>
					<td  bgcolor="#CCCCCC"><a href="important_notice.jsp">Notice & News</a><img src="../include/image/new.gif" /></td>
				</tr>
				<tr>
					<td><a href="organisation.jsp">Organization</a></td>
				</tr>
				<tr>
					<td><a href="call_for_paper.jsp">Call for Papers</a></td>
				</tr>
				<tr>
					<td><a href="call_for_ssp.jsp">Call for SSP</a></td>
				</tr>
				<tr>
					<td><a href="plenary_and_keynote.jsp">Plenary and Keynote</a></td>
				</tr>
				<tr>
					<td><a href="author_kit.jsp">Author's Kit</a></td>
				</tr>
				<tr>
					<td><a href="special_session.jsp">Special Session</a></td>
				</tr>
				<tr>
					<td><a href="important_date.jsp">Important Dates</a></td>
				</tr>	
				<tr>
					<td><a href="conference_venue.jsp">Conference Venue</a><img src="../include/image/new.gif" /></td>
				</tr>
				<tr>						
					<td><a href="transportation.jsp">Transportation</a><img src="../include/image/new.gif" /></td>
				</tr>
				<tr>	
					<td><a href="http://www.expo2010.cn" target='blank'>Expo2010</a><img src="../include/image/new.gif" /></td>
				</tr>

				<tr>
					<td><a href="">Tutorial</a></td>
				</tr>
				<tr>
					<td><a href="contact_person.jsp">Contact Persons</a></td>						
				</tr>
				<tr>						
					<td><a href="">LSMS2007</a></td>
				</tr>
			</table>
		</div>
		

		
		<div id="content" class="bg_color border">
			<div style="margin:10px">
			<p><b><font size='4px'>Plenary speakers</font></b></p>
			
			<p align='left'><font size='2px'>Prof. George W Irwin, FREng, MRIA, FIEEE Queen's University Belfast, UK</font><br>
			<a href="http://www.qub.ac.uk/research-centres/ISAC/">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.qub.ac.uk/research-centres/ISAC/</span></a></p>
			
			<p align='left'><font size='2px'>Prof. Cheng Wu, Tsinghua University, China, Member of Chinese Academy of Engineering, 
			Former National Chief Scientist on Automation Technology</font><br>
			<a href="http://www.tsinghua.edu.cn/eng/board9/detail.jsp?seq=1107&boardid=3302">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.tsinghua.edu.cn/eng/board9/detail.jsp?seq=1107&boardid=3302</span></a></p>
			
			<p align='left'><font size='2px'>Prof. Tong Heng Lee, The National University of Singapore, Singapore</font><br>
			<a href="http://www.eng.nus.edu.sg/deanleeth/">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.eng.nus.edu.sg/deanleeth/</span></a></p>
			
			<p align='left'><font size='2px'>Dr. Gordon J. Harris, Director of 3D Imaging Service and Radiology Computer Aided 
			Diagnostics Laboratory, Massachusetts General Hospital</font><br>
			<a href="http://www2.massgeneral.org/radiology/index.asp?page=staff&subpage=harris">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www2.massgeneral.org/radiology/index.asp?page=staff&subpage=harris</span></a></p>
			
			<p align='left'><font size='2px'>Prof. John V McCanny, UK</font><br>
			<a href="http://www.ecit.qub.ac.uk/Aboutus/BusinessCard/index.html?name=j.mccanny">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.ecit.qub.ac.uk/Aboutus/BusinessCard/index.html?name=j.mccanny</span></a></p>
			
			<p align='left'><font size='2px'>Prof. Er-Wei Bai, The University of Iowa, Iowa City, USA</font><br>
			<a href="http://www.engineering.uiowa.edu/faculty-staff/profile-directory/ece/bai_e.php">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.engineering.uiowa.edu/faculty-staff/profile-directory/ece/bai_e.php</span></a></p>
			
			<p align='left'><font size='2px'>Professor Tom Heskes, Radboud University Nijmegen, Netherland</font><br>
			<a href="http://www.cs.ru.nl/~tomh/">
			<span style="color: blue; text-decoration: underline; text-underline: single; font-size: 10.0pt; font-family: Arial">
			http://www.cs.ru.nl/~tomh/</span></a></p>
			
			<p align='left'><font size='2px'>Professor Shuzhi Sam Ge, Department of Electrical and Computer Engineering, 
			the National University of Singapore</font><br>
			<a href="http://robotics.nus.edu.sg/sge/">
			<span style="font-family: Arial; font-size: 10.0pt; color: blue; text-decoration: underline; text-underline: single">
			http://robotics.nus.edu.sg/sge/</span></a></p>
			
			<p><b><font size='4px'>keynote speech</font></b></p>
			<p>==========================================</p>
			<p><img src="../include/photos/George2004.jpg" width='150px' height='180px'></p>
			<p>Prof George W Irwin</p>
			<p>Intelligent Systems and Control</p>
			<p>School of Electronics, Electrical Engineering and Computer Science</p>
			<p>Queen's University Belfast UK</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Professor George Irwin leads the Intelligent Systems and Control Research group 
			and is Director of the University Virtual Engineering Centre at Queen University Belfast. 
			He has been elected Fellow of the Royal Academy of Engineering and 
			Member of the Royal Irish Academy and is a Chartered Engineer, 
			an IEEE Fellow, a Fellow of the IEE and a Fellow of the Institute 
			of Measurement and Control. Prof Irwin's research covers 
			identification, monitoring, and control, including neural networks, 
			fuzzy neural systems and multivariate statistics and has published 
			over 350 research papers and 12 edited books. He is currently working 
			on wireless networked control systems, fault diagnosis of internal 
			combustion engines and novel techniques for fast temperature 
			measurement and was Technical Director of Anex6 Ltd, 
			a spin out company from his group specialising in process monitoring. 
			He has been awarded a number of prizes including four IEE Premiums, 
			a Best Paper award from the Czech Academy of Sciences and the 2002 
			Honeywell International Medal from the Institute of Measurement and Control. 
			International recognitions include Honorary Professor at Harbin Institute 
			of Technology and Shandong University, and Visiting Professor at Shanghai 
			University. George Irwin is a former Editor-in-Chief of the IFAC Journal 
			Control Engineering Practice and past chair of the UK Automatic Control 
			Council. He currently chairs the IFAC Publications Committee and serves on 
			the editorial boards of several journals.
			</p>
			
			<p>==========================================</p>
			<p><img src="../include/photos/wucheng.jpg" width='150px' height='220px'></p>
			<p>Prof. Cheng Wu</p>
			<p>Tsinghua University, China, Member of Chinese Academy of Engineering, Former National Chief Scientist on </p>
			<p>Automation Technology</p>
			<p align='left'><b>Academic Posts</b><br>
			Professor, Department of Automation, Tsinghua University<br>
			Member, Chinese Academy of Engineering<br>
			Director, China National Engineering Research Center for Contemporary Integrated Manufacturing Systems<br>
			Member, Advisory Board of IEEE Transactions on Automation Science and Engineering<br>
			Member, Editorial Board of International Journal of Robotics and Computer Integrated Manufacturing<br>
			Member, Editorial Board of International Journal of Industrial and Management Optimization<br>
			</p>
			
			<p align='left'><b>Research Interests</b><br>
			System Integration<br>
			Modeling, Planning, Scheduling and Optimization of Complex Industrial Systems<br>
			</p>
			
			<p align='left'><b>Professional Experiences</b><br>
			1967- Teaching Assistant, lecturer, associate professor, professor, Tsinghua University,Beijing<br>
			</p>
			
			<p align='left'><b>Education</b><br>
			1962, Bachelor, Department of Electrical Engineering, Tsinghua University<br>
			1966, Master, Department of Electrical Engineering, Tsinghua University<br>
			</p>
			
			<p align='left'><b>Awards & Honors</b><br>
			1991, 1996, 2001, First Prize of 863 National Scheme<br>
			1999, Second Prize of Science & Technology Progress Award, Ministry of Education<br>
			1997, Award of National Outstanding Teacher<br>
			1994, Science & Technology Progress Prize, Ho Leung Ho Lee Foundation<br>
			1994, University LEAD Award for CIM excellence by the SME (Society of Manufacturing Engineering) of USA 
			for his achievements on CIMS research and applications<br>
			</p>
			
			<p>==========================================</p>
			<p><b>Inventing and Developing an Automated Haematopoietic Stem Cells Harvesting Machine; 
			and other Recent Advances in Intelligent Precision Modeling, Simulation & 
			Control for Life Sciences Developments</b></p>
			<p>T.H.Lee, B.A. (Hons I) Cambridge; M.Engrg NUS; Ph.D. Yale</p>
			<p>Professor & Cluster Head (Control Systems)</p>
			<p>Professor in the Graduate School, NUS NGS</p>
			<p>Dept of ECE, NUS</p>
			<p>Dy Editor-in-Chief, IFAC Mechatronics Int Jnl</p>
			<p>E-mail:<a href=href="mailto:ELELEETH@nus.edu.sg"><font color='blue' size='2px'>ELELEETH@nus.edu.sg</font></a> </p>
			
			<p><b>Abstract</b></p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;The human placenta and umbilical cord blood (UCB) provide 
			a rich source of highly-proliferative haematopoietic stem 
			cells (HSCs) for many clinical uses with advantages over 
			traditional sources like the bone marrow and periphery blood. 
			However, the current constraint with this source of HSCs is 
			the inadequate number of HSCs cells which can be harvested 
			in a single collection using current approaches which render 
			a large number of collections unusable on their own, even 
			for paediatric patients. The large reservoir of useful 
			HSCs within the placenta has to be discarded upon the 
			delivery of the placenta out of the maternal body. 
			A novel design, involving mechanical, electronics and 
			control components, seeks to create an artificial uterus 
			force to harvest the HSCs. This paper will present 
			the development of this automated device to enable more 
			effective harvesting of HSCs from placentas, 
			upon the discharge of placentas after deliveries. 
			Comprehensive results, in terms of mononucleated cells 
			(MNCs) count and CD34+ cells count, will be furnished 
			to verify the effectiveness of the developed system, 
			over the other current approaches. (Note: This invention was 
			a winner of the IEEE ICMA 2009 Best Paper in 
			Automation Award. It is patented in U.S.A., Europe, 
			Japan and Singapore. A company, Dynamed Hi-Tech Medical 
			Instruments, has licensed it and will market it in 2010.)
			</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Additionally, the paper will also 
			present recent advances in Intelligent Precision Modeling, 
			Simulation & Control for Life Sciences developments; 
			including recent research and development work in developing 
			portable precision Tissue Micro-Arrayers for Tissue 
			Repositories.
			</p>
			
			<p>==========================================</p>
			<p><img src="../include/photos/THLEE.jpg" width='200px' height='150px'></p>
			<p>Prof. Tong Heng Lee</p>
			<p> The National University of Singapore, Singapore</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;T. H. Lee received the B.A. degree with 
			First Class Honours in the Engineering Tripos from Cambridge 
			University, England, in 1980; and the Ph.D. degree from 
			Yale University in 1987. He is a Professor in the Department 
			of Electrical and Computer Engineering at the National 
			University of Singapore (NUS); and also a Professor in the 
			NUS Graduate School, NUS NGS. He was a Past Vice-President 
			(Research) of NUS.
			<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Dr. Lee's research interests are in 
			the areas of adaptive systems, knowledge-based control, 
			intelligent mechatronics and computational intelligence. 
			He currently holds Associate Editor appointments in the 
			IEEE Transactions in Systems, Man and Cybernetics; 
			IEEE Transactions in Industrial Electronics; Control 
			Engineering Practice (an IFAC journal); and the International 
			Journal of Systems Science (Taylor and Francis, London). 
			In addition, he is the Deputy Editor-in-Chief of IFAC 
			Mechatronics journal.
			<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Dr. Lee was a recipient of the 
			Cambridge University Charles Baker Prize in Engineering; 
			the 2004 ASCC (Melbourne) Best Industrial Control Application 
			Paper Prize; the 2009 IEEE ICMA Best Paper in Automation Prize; 
			and the 2009 ASCC Best Application Paper Prize. He has also 
			co-authored five research monographs (books), and holds 
			four patents (two of which are in the technology area of 
			adaptive systems, and the other two are in the area of 
			intelligent mechatronics). He has published more than 300 
			international journal papers.
			<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Dr. Lee was an Invited Panelist at 
			the World Automation Congress, WAC2000 Maui U.S.A.; an Invited 
			Keynote Speaker for IEEE International Symposium on Intelligent 
			Control, IEEE ISIC 2003 Houston U.S.A.; an Invited Keynote 
			Speaker for LSMS 2007, Shanghai China; an Invited Expert 
			Panelist for IEEE AIM2009; and an Invited Plenary Speaker for 
			IASTED RTA 2009.
			</p>
			
			<p>==========================================</p>
			<p>The 3D Imaging Service at Massachusetts General Hospital: 11 Years Experience</p>
			<p>
			Dr. Gordon J. Harris<br>
			Director, 3D Imaging Service, and Radiology Computer Aided Diagnostics 
			Laboratory (RAD CADx LAB), Massachusetts General Hospital <br>
			Associate Professor of Radiology, Harvard Medical School.<br>
			</p>
			
			<p><b>Abstract</b></p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;In 1999, we set out to create a radiology 
			three-dimensional (3D) imaging service at Massachusetts General 
			Hospital (MGH). Our goal was two-fold: first, to integrate 3D 
			image post-processing capabilities, computer-aided diagnosis 
			(CAD), and quantitative analysis into the routine clinical 
			workflow; and to create an infrastructure generally more 
			conducive to the transfer of new image-processing technologies 
			from the research realm into clinical use. Initially, we found 
			that although our institution possessed several 3D imaging 
			workstations, they were used only occasionally for research 
			purposes and, when a clinical request for 3D post-processing 
			was made, the staff lacked the expertise and experience to 
			fulfill those requests.<br> 
			&nbsp;&nbsp;&nbsp;&nbsp;Three-dimensional image processing begins 
			with a stack of 2-dimensional images, assembles them into a 3-D 
			volume, and then manipulates them in a variety of ways. There are 
			numerous techniques for image manipulation that can be performed 
			at a 3D workstation, including maximum intensity projection (MIP), 
			volume rendering (VR), endoluminal views, segmentation, 
			and functional imaging; however, the challenge is selecting the 
			technique that provides the most clinical value. To that end, the 
			staff of our 3D Imaging Service has undergone extensive training. 
			In addition, together with radiologists and referring physicians, 
			our staff has crafted 3D protocols with standard views for each 
			imaging modality (magnetic resonance [MR], computed tomography [CT], 
			ultrasound [US]) and clinical application, which have been selected 
			in order to provide reliable consistency and optimal clinical value, 
			both important features for any clinical service.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Selection of an appropriate 3D image analysis 
			technique often depends on the perspective of the physician: 
			for diagnosis, radiologists may prefer a technique such as MIP in 
			which all of the information is present and none has been removed 
			by the computer, whereas a surgeon may prefer a more anatomically 
			realistic view for surgical planning, such as a VR image in which 
			some of the information has been segmented out (Figure 1). For 
			applications such as vascular imaging, it is not uncommon to pair 
			more than one technique: for example, VR to assess the geometry of 
			any vascular lesions together with curved multiplanar reformatting 
			(MPR) to assess for stenoses or occlusions (Figure 2).<br>
			&nbsp;&nbsp;&nbsp;&nbsp;For diagnostic vascular imaging, 3D image 
			analysis has allowed us to almost completely replace the more 
			expensive and invasive catheter angiogram with CT angiography 
			(CTA) or MR angiography (MRA). Moreover, with CTA and MRA, it is 
			possible to view not only the vessels, but also the surrounding 
			parenchyma and other nearby structures. One example of the benefit 
			of 3D vascular imaging is in evaluation of living renal donors, 
			where the transplant surgeon requires a complete picture of 
			the number and geometry of the renal arteries, veins, and ureters 
			of the donor. For this application, we have been able to replace 
			two more expensive and invasive exams, catheter angiography 
			(involving anesthesia and higher risk of complications) plus 
			intravenous pyelography (IVP), with a single outpatient CT 
			exam involving CTA plus delayed-phase CT urography. 
			The healthy donor is spared from expensive, invasive procedures 
			and, instead, receives a simple, outpatient, contrast-enhanced 
			multiphasic CT scan capable of gathering all of the necessary 
			information with minimal risk.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Computer-aided segmentations are used to 
			disarticulate structures within an image, which can greatly 
			assist in pre-surgical planning, as in the case of the repair 
			of complex fractures (Figure 3). Segmentation can also facilitate 
			the assessment of vessels; for example, in cardiac imaging, 
			segmenting out some of the adjacent structures can provide a 
			clear view of the vessels from their origin to the apex. 
			Segmentation can also be useful for accurate determination of 
			brain tumor volumes, particularly in the case of irregularly 
			shaped tumors where a linear measure provides insufficient 
			information. Another use of quantitative segmentation is in 
			the accurate determination of the volume of a donor liver to 
			determine if it is large enough to supply both the donor and 
			the recipient. Previously, this determination was based on a 
			fairly rough estimation; however, it is now possible to more 
			precisely determine the volume of the liver and perform a virtual 
			resection, potentially increasing the success rate of liver 
			transplantation. Moreover, this technique has been automated and 
			can now be performed in less than 10 minutes.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;In the 3D Imaging Service, we also perform 
			functional imaging using CT and MR perfusion, and functional 
			MRI (fMRI). CT perfusion can be used to assess patients for 
			stroke by measuring various hemodynamic parameters: for 
			example, an increased mean transit time and decreased cerebral 
			blood flow indicate the presence of an infarcted area. 
			Functional MRI plays a role in neurosurgical planning, 
			helping the surgeons to determine the proximity of the 
			surgical target to critical sensory, motor, and language 
			areas. The use of fMRI in this way can reduce the amount of 
			time the surgeon spends doing intraoperative cortical mapping.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;At MGH, our full-time 3D Imaging Service 
			is now capable of performing 3D imaging upon request with rapid 
			turnaround time. We are fully integrated with the hospital's 
			picture archiving and communications systems, billing, and 
			information systems. Our volume has continued to grow each 
			year: When we started in February 1999, we performed an 
			average of two exams per day, and now we perform approximately 
			120 exams per day, or 2,500 per month. Our clinical staff is 
			currently comprised of approximately 13 individuals, including 
			3-D technologists, image analysts, operations and technical 
			managers, and billing coordinators, and we utilize a wide 
			variety of different types of workstations from many different 
			vendors for different applications. We primarily perform CTA 
			and MRA, nonvascular CT and MR exams, and 3D US, with 
			approximately half being neuro-based and the remainder being 
			vascular, as well as other applications. We currently process 
			approximately 10% of the CT examinations and 20% of the MRI 
			examinations at MGH.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;In summary, 3D image analysis provides 
			more comprehensive and realistic patient evaluation. Quantitative 
			analysis with CAD can provide more accurate, reliable 
			assessment, staging, and treatment planning, ultimately 
			improving patient care, increasing clinical confidence, 
			and reducing the time, cost, and invasiveness of procedures. 
			We recognize that the level of commitment of resources needed 
			to develop an in-house 3D imaging service may not be practical 
			for all imaging centers; therefore, through improvements in 
			networking and communications, we are hoping to expand our 
			CAD and 3D services to help support the needs of many hospitals 
			and imaging centers.<br>
			</p>
			
			<p>------------------------------------------</p>
			<p><img src="../include/photos/Harris.jpg" width='150px' height='180px'></p>
			<p>Dr. Gordon J. Harris</p>
			<p>Director, 3D Imaging Service, and Radiology Computer Aided Diagnostics Laboratory (RAD CADx LAB), </p>
			<p>Massachusetts General Hospital</p>
			<p>Associate Professor of Radiology, Harvard Medical School.</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Dr. Harris is Director of the 3D Imaging Service, 
			and the Radiology Computer Aided Diagnostics Laboratory (RAD CADx LAB) 
			at the Massachusetts General Hospital, and the Tumor Imaging Metrics 
			Core of the Dana-Farber/Harvard Cancer Center, and Associate Professor 
			of Radiology at Harvard Medical School. Dr. Harris received his Ph.D. 
			from Johns Hopkins Medical Institutions in Radiation Health Sciences 
			and a B.S. in Electrical Engineering from Lafayette College. After 
			graduate school, Dr. Harris spent one post-doctoral year and two years 
			as junior faculty at Johns Hopkins School of Medicine. After four 
			subsequent years as Director of the Neuroimaging Research Laboratory 
			at New England Medical Center, Dr. Harris joined the faculty at MGH in 
			1997 and began a new 3D Imaging Service for clinically-oriented imaging. 
			His primary research interests include structural and functional brain 
			imaging research in psychiatric and neurologic illnesses including 
			stroke and alcoholism, as well as quantitative tracking of tumors 
			for clinical care and clinical trials. Dr. Harris has published and 
			lectured extensively on medical imaging.
			</p>
			
			<p>==========================================</p>
			<p>
			COUPLING RESEARCH AND INNOVATION - NEW MODELS FOR SUCCESSFUL ECONOMIC IMPACT<br>
			Professor John V McCanny<br>
			CBE FRS FREng IEEE Fellow<br>
			Director<br>
			Institute of Electronics Communications and Information Technology (ECIT),<br>
			Queen's University Belfast, <br>
			Northern Ireland Science Park, <br>
			Belfast BT3 9DT, UK<br>
			</p>
			<p><b>Abstract</b></p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Competitiveness in a global economy is highly dependent 
			on our ability to create new knowledge that in turn drives new innovations and 
			new market opportunities. A key aspect of this is a nation's ability to captilalise 
			on and create new products and services from its research base and the role that 
			business focused Research Centres, can play a key role in enabling effective 
			Knowledge Transfer, between the academia and industry. This plenary presentation 
			will give an overview of how these challenges are being addressed at Queen's 
			University's Institute of Electronics Communications and Information Technology - ECIT.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;ECIT, which opened in 2004 as a result of a $70M 
			investment, is the research flagship for the Northern Ireland Science Park and 
			brings together specialists in complementary fields of Electronics and Computer Science. 
			It has a unique environment that couples internationally leading research with very strong 
			industrial engagement locally, nationally and internationally. Its major themes are (a) 
			Digital and Wireless Communications Technology and (b) Secure Information Technology, 
			following a recent $50M investment funded by the UK's national Engineering and Physical 
			Sciences Research Council (EPSRC) and by the UK's national Technology Strategy Board (TSB)<br>
			&nbsp;&nbsp;&nbsp;&nbsp;This talk will present an overview of ECIT's activities including 
			new "Open Innovation" models that juxtapose speculative academic research with engineering 
			staff that have many years industrial experience. An overview will also be given of ECIT's 
			wider role in helping to create new high technology industry on the Northern Ireland Science 
			Park and its transfer to technology to national and international industry. This includes and 
			environment that provides access to national and international entrepreneurs, business angels, 
			Venture Capitalists s and Intellectual Property Lawyers as well as to leading researchers 
			nationally and internationally.<br>
			</p>
			
			<p>------------------------------------------</p>
			<p><img src="../include/photos/McCanny.jpg" width='150px' height='180px'></p>
			<p>Professor John V McCanny<br>
			CBE FRS FREng IEEE Fellow FIAE MRIA FIET FInstP FIEI
			</p>
			
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Professor John McCanny is an international 
			authority on special purpose silicon architectures for Signal 
			and Video Processing. He is a Fellow of the Royal Society (of 
			London), the UK Royal Academy of Engineering, the Irish Academy 
			of Engineering, the IEEE and Engineers Ireland. He is also a Member 
			of the Royal Irish Academy.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He is recipient of numerous honours/awards 
			including a UK Royal Academy of Engineering Silver Medal (1996), 
			an IEEE Millennium Medal, the Royal Dublin Society/Irish Times 
			Boyle medal (2004) and the IET's Faraday medal (2006). He has 
			co-founded two successful high technology companies, Amphion 
			Semiconductor Ltd. (later acquired by Conexant, then NXP) and 
			Audio Processing Technology Ltd. In 2002 he was awarded a CBE 
			(Commander of the Order of the British Empire) for his 
			"Contributions to Engineering and Higher Education".<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He has published 5 research books, 350 
			peer reviewed research papers and holds over 20 patents. He 
			is currently Director of the Institute of Electronics, 
			Communications and Information Technology (ECIT) at 
			Queen's University Belfast and also Head of the School of 
			Electronics, Electrical Engineering and Computer Science.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He has served on numerous Royal Society 
			committees and chaired of Sectional Committee 4 (Engineering) 
			during 2005 and 2006. He is currently is a Member of the 
			Council of the Royal Academy of Engineering and also serves on 
			its International Committee. He has been a board member for 
			Ireland's Tyndall National ICT research centre since its was 
			established in 2004, is currently a member of EPSRC's ICT 
			Strategic Advisory Team and on the advisory board of the 
			German Excellence Centre on "Ultra High-Speed Mobile 
			Information and Communication" (UMIC) based at the University 
			of Aachen.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He was heavily involved in developing 
			the vision that led to the creation of the Northern Ireland 
			Science Park and the creation of its ECIT research flagship. 
			He also led the initiative that created the £30M Centre for 
			Secure Information Technology (CSIT) which is based at ECIT.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He holds a Bachelors degree in Physics 
			from the University of Manchester, a PhD in Physics from the 
			University of Ulster and was awarded a DSc (higher doctorate) 
			in 1998 in Electrical and Electronics Engineering from Queen's 
			University Belfast.<br>
			</p>
			
			<p>==========================================</p>
			<p><b>Adaptive Bolus Chasing Computed Tomography Angiography</b></p>
			<p>
			Er-Wei Bai<br>
			The University of Iowa, Iowa City<br>
			</p>
			
			<p><b>Abstract</b></p>
			
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;This talk focuses on how control, 
			identification and signal processing techniques are used to 
			solve an bio-medical engineering problem. The problem considered 
			is to improve imaging quality and to reduce contrast dose 
			and radiation exposure of a modern CT scanner. To combat 
			mismatch of the bolus peak density and the imaging aperture 
			in a modern CT, an optimal adaptive bolus chasing controller 
			is proposed and experimentally tested. The controller estimates 
			and predicts the unknown two dimensional bolus density on 
			line and then determines the optimal control actions. Tracking 
			errors are mathematically quantified in terms of estimation 
			errors. The test results not only support the analytical 
			analysis and exhibit its superior performance over the current 
			constant velocity controller, but also demonstrate 
			the clinical feasibility.<br>
			</p>
			
			<p>------------------------------------------</p>
			<p><img src="../include/photos/baicolor.jpg" width='150px' height='180px'></p>
			<p>Professor Er-Wei Bai</p>
			<p>
			4316 Seamans Center for the Engineering Arts and Sciences<br> 
			The University of Iowa<br>
			Iowa City, IA 52242-1527<br>
			Telephone: (319) 335-5949<br>
			</p>
			
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Er-Wei Bai received his PhD degree from 
			the University of California at Berkeley and is Professor of 
			Electrical and Computer Engineering at University of Iowa. 
			Professor Bai is a Fellow of IEEE, and a leading expert on 
			system identification and parameter estimation. Prof Bai has 
			written over 140 journal papers as well as a number of 
			conference papers and book chapters on identification, 
			adaptive systems, signal processing and their applications 
			to medicine and engineering. He has served as an associate 
			editor or editorial board member for a number of journals 
			including IEEE Trans on Automatic Control and Automatica and 
			as a panel member for US National Science Foundation (NSF) 
			and the US National Institute of Health.  Prof Bai currently 
			serves on the IFAC technical committee on Modelling, 
			Identification and Signal processing, and IEEE CSS technical 
			committee on System Identification and Adaptive Control. 
			He is a recipient of the President's Award for Teaching 
			Excellence and the (State of Iowa Board of ) Regents Award 
			for Faculty Excellence.<br>
			</p>
			
			<p>==========================================</p>
			<p><b>Bayesian machine learning for brains, genes, and hearing aids</b></p>
			<p>
			Professor Tom Heskes<br>
			Radboud University Nijmegen, Netherland<br>
			</p>
			<p>------------------------------------------</p>
			<p><img src="../include/photos/tomheskes.jpg" width='150px' height='180px'></p>
			<p>Professor Tom Heskes</p>
			<p>
			Head of Machine Learning Group, Intelligent Systems<br>
			Institute for Computing and Information Sciences (iCIS)<br> 
			Faculty of Science<br>
			Radboud University Nijmegen<br>
			Email:<a href="mailto:t.heskes@science.ru.nl"><font size='2px' color='blue'>t.heskes@science.ru.nl</font></a><br>
			</p>
			
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Dr Tom Heskes is a Professor in Artificial 
			Intelligence, and he leads the Machine Learning Group, at the 
			Institute for Computing and Information Sciences, 
			Radboud University Nijmegen, the Netherlands. He is further 
			affiliated Principal Investigator at the Donders Centre for 
			Neuroscience.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Prof Heskes' research is on artificial 
			intelligence, in particular (Bayesian) machine learning. He 
			works on Bayesian inference (approximate inference, hierarchical 
			modeling, dynamic Bayesian networks, preference elicitation); 
			machine learning (multi-task learning, bias-variance 
			decompositions); and neural networks (on-line learning, 
			self-organizing maps, time-series prediction). In a nutshell, 
			he and the members of his group use probability calculus and 
			statistics to design and understand "intelligent" systems 
			that can learn from data. He is also involved in several 
			projects that concern applications in, among others, 
			brain-computer interfaces, adaptive personalization of hearing 
			aids, and bioinformatics. Prof Heskes has published over 
			100 research papers and books in the above area.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Prof Heskes is the Editor-in-Chief of 
			Neurocomputing. He has served in various prestigious committees 
			of over 40 international conferences since 2004 onwards.<br>
			</p>
			
			<p>==========================================</p>
			<p><b>Nonlinear Control and Its Applications</b></p>
			<p>
			Shuzhi Sam Ge<br>
			Professor, IEEE Fellow, PhD, DIC, BSc, PEng<br>
			Director, Institute of Intelligent Systems and Information Technology (ISIT), and Robotics Institute<br>
			University of Electronic Science and Technology of China<br>
			Chengdu, 611731, China<br>
			Director, Social Robotics Lab, Interactive Digital Media Institute (IDMI) & <br>
			Professor, Department of Electrical & Computer Engineering <br>
			National University of Singapore<br>
			Singapore 117576<br>
			</p>
			
			<p><b>Abstract</b></p>
			<p align='left'>
			&nbsp;&nbsp;&nbsp;&nbsp;Many complex systems are usually difficult 
			to model and governed by general (non-affine) nonlinear systems. 
			The well developed control schemes for affine nonlinear systems 
			find of little use. By elegantly utilizing the Mean value and 
			implicit function theorems, the existence of ideal stabilizing 
			control laws are first established for non-affine nonlinear 
			systems. Then, by combining the adaptive control and neural 
			network parametrizition techniques, stable adaptive neural 
			network control is presented rigorously, which demonstrate 
			that intelligent control can do what traditional adaptive 
			control could not, and intelligent control provides the 
			fundamentals for further development of advanced adaptive 
			control for complex industrial systems. Because of the inherent 
			differences of operators, adaptive controls are presented for 
			nonlinear systems in both continuous time and discrete-time.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;Finally, a new control design is 
			presented for a class of nonlinear systems in strict feedback 
			form with output constraint, though our newly introduced - 
			Barrier Lyapunov Function - which grows to infinity when its 
			arguments approaches certain limiting values. The key 
			principle is that, by ensuring boundedness of the Barrier 
			Lyapunov Function in the closed loop, we also ensure that 
			the barriers are not transgressed. Asymptotic tracking is 
			achieved without violation of constraint, and all closed loop 
			signals remain bounded, under a mild condition on the 
			initial output.<br>
			</p>
			
			<p>------------------------------------------</p>
			<p><img src="../include/photos/SSGe.jpg" width='150px' height='180px'></p>
			<p>Professor Shuzhi Sam Ge</p>
			<p align='justify'>
			&nbsp;&nbsp;&nbsp;&nbsp;Professor Shuzhi Sam Ge, IEEE Fellow, 
			IET Fellow, is the founding director of Institute of 
			Intelligent Systems and Information Technology, University 
			of Electronic Science and Technology of China, and the 
			founding Director of Social Robotics Lab of Interactive 
			Digital Media Institute, and Professor of the Department 
			of Electrical and Computer Engineering, the National 
			University of Singapore.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He is the founding Editor-in-Chief, 
			International Journal of Social Robotics, Springer. He has 
			served/been serving as an Associate Editor for a number 
			of flagship journals including IEEE Transactions on Automatic 
			Control, IEEE Transactions on Control Systems Technology, 
			IEEE Transactions on Neural Networks, and Automatica. He also 
			serves as a book Editor of the Taylor & Francis Automation 
			and Control Engineering Series. At IEEE Control Systems 
			Society, he served/serves as Vice President for Technical 
			Activities, 2009-2010, Member of Board of Governors of IEEE 
			Control Systems Society, 2007-2009, and Chair of Technical 
			Committee on Intelligent Control,  2005-2008. He served as 
			the inaugural General Chair of IEEE Multi-conference on 
			Systems and Control, Singapore 2007, and the General Chair 
			of the IEEE International Symposium on Intelligent Control, 
			Taipei, 2004. He was the founding General Chair of IEEE 
			Conference on Robotics, Automation and Mechatronics, & IEEE 
			Conference on Cybernetics and Intelligent Systems, Singapore, 
			2004.<br>
			&nbsp;&nbsp;&nbsp;&nbsp;He was the recipient of inaugural 
			Thousand Talent Scheme (TTS) Professor, China, 2008; 
			Changjiang Guest Professor, Ministry of Education, China, 
			2008; Outstanding Overseas Young Research Award, National 
			Science Foundation, China, 2004; Inaugural Temasek Young 
			Investigator Award, Defence Science and Technology Agency 
			(DSTA), Singapore, 2002; National Technology Award of 
			the National Science & Technology Board, Singapore,1999. 
			He provides technical consultancy to industrial and 
			government agencies. His current research interests include 
			social robotics, multimedia fusion, adaptive control, 
			intelligent systems and artificial intelligence.<br>
			</p>

			</div>
		</div>
	
		<div id="date_bar">	
			<b><font size="3px">You are the </font></b>
			<script type="text/javascript" src="http://www.zzsky.cn/service/count/count.asp?user=judezhan"></script>	
			<b><font size="3px">th visitors!</font></b>
		</div>
	
		<div class="nav"></div>
		
		<div id="footer" class="footer_color border">
			<p align="center"><b>&copy;2010 LSMS-All Rights Reserved.</b></p>
			<p align="center"> <b>Powered by Shu.</b></p>
		</div>
	</div>
</body>
</html>
